Outputs (302)

Partially structure-preserving signatures: Lower bounds, constructions and more (2021)
Conference Proceeding
Ghadafi, E. (2021). Partially structure-preserving signatures: Lower bounds, constructions and more. In K. Sako, & N. O. Tippenhauer (Eds.), In Applied Cryptography and Network Security (284-312). https://doi.org/10.1007/978-3-030-78372-3_11

In this work we first provide a framework for defining a large subset of pairing-based digital signature schemes which we call Partially Structure-Preserving Signature (PSPS) schemes. PSPS schemes are similar in nature to structure-preserving signatu... Read More about Partially structure-preserving signatures: Lower bounds, constructions and more.

Multi-agent path planning approach using assignment strategy variations in pursuit of moving targets (2021)
Conference Proceeding
Afzalov, A., He, J., Lotfi, A., & Aydin, M. E. (2021). Multi-agent path planning approach using assignment strategy variations in pursuit of moving targets. In G. Jezic, J. Chen-Burger, M. Kusek, R. Sperka, R. Howlett, & L. Jain (Eds.), Agents and Multi-Agent Systems: Technologies and Applications 2021 (451-463). https://doi.org/10.1007/978-981-16-2994-5_38

This study aims to investigate the problem of assignment strategies for multiple agents. In multi-agent scenarios, agents compute a path towards the goal, while these goal destinations in some cases are predefined in advance. The topic of assignment... Read More about Multi-agent path planning approach using assignment strategy variations in pursuit of moving targets.

Towards an audio attribute framework for understanding the perception of reverberant spaces through elicitation and clustering methods based on participant expectation (2021)
Conference Proceeding
Child, L., & Ford, N. (2021). Towards an audio attribute framework for understanding the perception of reverberant spaces through elicitation and clustering methods based on participant expectation. In Audio Engineering Society Convention 150

When used in perceptual audio evaluation, elicitation methods produce a wide variety of raw and unorganized text data. Although at first ambiguous, elicited data can be organized into themes and attributes that are intrinsic to the listener experienc... Read More about Towards an audio attribute framework for understanding the perception of reverberant spaces through elicitation and clustering methods based on participant expectation.

Blockchain and artificial intelligence -Managing a secure and sustainable supply chain (2021)
Conference Proceeding
Pimenidis, E., Patsavellas, J., & Tonkin, M. (2021). Blockchain and artificial intelligence -Managing a secure and sustainable supply chain. In Cybersecurity, Privacy and Freedom Protection in the Connected World (367-377). https://doi.org/10.1007/978-3-030-68534-8_23

Supply chain management is often the most challenging part of any business that manufactures, sells goods, or provides services nowadays. Regardless of whether the operations are mostly physical or online, managing supply chains relies entirely on be... Read More about Blockchain and artificial intelligence -Managing a secure and sustainable supply chain.

Creativity in children's digital music composition (2021)
Conference Proceeding
Ford, C., Bryan-Kinns, N., & Nash, C. (2021). Creativity in children's digital music composition. In Proceedings of the International Conference on New Interfaces for Musical Expression (NIME). https://doi.org/10.21428/92fbeb44.e83deee9

Composing is a neglected area of music education. To increase participation, many technologies provide open-ended interfaces to motivate child autodidactic use, drawing influence from Papert’s LOGO philosophy to support children’s learning through pl... Read More about Creativity in children's digital music composition.

Automated essay scoring (AES); A semantic analysis inspired machine learning approach: An automated essay scoring system using semantic analysis and machine learning is presented in this research (2021)
Conference Proceeding
Ikram, A., & Castle, B. (2021). Automated essay scoring (AES); A semantic analysis inspired machine learning approach: An automated essay scoring system using semantic analysis and machine learning is presented in this research. In ICETC '20: Proceedings of the 12th International Conference on Education Technology and Computers (147-151). https://doi.org/10.1145/3436756.3437036

With the advancements in Artificial Intelligence (AI), ‘Automated Essay Scoring’ (AES) systems have become more and more prevalent in recent years. This research proposes an extension to the Coh-Metrix algorithm AES, with a focus on feature lists. Te... Read More about Automated essay scoring (AES); A semantic analysis inspired machine learning approach: An automated essay scoring system using semantic analysis and machine learning is presented in this research.

Triangle area based multivariate correlation analysis for detecting and mitigating cache pollution attacks in named data networking (2021)
Conference Proceeding
Sohail, M., Zheng, Q., Rezaiefar, Z., Khan, M. A., Ullah, R., Tan, X., …Yuan, L. (2021). Triangle area based multivariate correlation analysis for detecting and mitigating cache pollution attacks in named data networking. In 2020 3rd International Conference on Hot Information-Centric Networking (HotICN) (114-121). https://doi.org/10.1109/HotICN50779.2020.9350746

The key feature of NDN is in-network caching that every router has its cache to store data for future use, thus improve the usage of the network bandwidth and reduce the network latency. However, in-network caching increases the security risks - cach... Read More about Triangle area based multivariate correlation analysis for detecting and mitigating cache pollution attacks in named data networking.

The rhythm of the robot: A prolegomenon to posthuman somaesthetics (2021)
Conference Proceeding
Belling, A. S., & Buzzo, D. (2021). The rhythm of the robot: A prolegomenon to posthuman somaesthetics. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction (1-6). https://doi.org/10.1145/3430524.3442470

This work-in-progress paper describes an investigation into the somaesthetic qualities of exploring posthuman strategies and relations with technology. This was done through bodystorming and physical prototyping, casting soft robots directly onto the... Read More about The rhythm of the robot: A prolegomenon to posthuman somaesthetics.

Multiple pursuers TrailMax algorithm for dynamic environments (2021)
Conference Proceeding
Afzalov, A., Lotfi, A., Inden, B., & Aydin, M. (2021). Multiple pursuers TrailMax algorithm for dynamic environments. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART (437-443). https://doi.org/10.5220/0010392404370443

Multi-agent multi-target search problems, where the targets are capable of movement, require sophisticated algorithms for near-optimal performance. While there are several algorithms for agent control, comparatively less attention has been paid to ne... Read More about Multiple pursuers TrailMax algorithm for dynamic environments.

Machine learning for strategic decision making during COVID-19 at higher education institutes (2021)
Conference Proceeding
Ahmed, A. S. A. M. S., & Malik, M. H. (2021). Machine learning for strategic decision making during COVID-19 at higher education institutes. In 2020 International Conference on Decision Aid Sciences and Application (DASA) (663-668). https://doi.org/10.1109/DASA51403.2020.9317042

Machine learning is becoming driving force for strategic decision making in higher educational institutions and it calls for cooperation between stakeholders and the use of efficient computation methods. Contrariwise, making decisions might consume m... Read More about Machine learning for strategic decision making during COVID-19 at higher education institutes.